[SciPy-dev] Summer Marathon "Category of the Week"

Nils Wagner nwagner@iam.uni-stuttgart...
Thu Jul 2 06:11:16 CDT 2009


On Thu, 2 Jul 2009 12:20:12 +0200
  Stéfan van der Walt <stefan@sun.ac.za> wrote:
> Hi marathon runners,
> 
> Well done on the progress made last week!
> 
> 2009/7/1 David Goldsmith <d_l_goldsmith@yahoo.com>:
>> Linear Algebra! (My favorite! :-))  Let's get it to pink 
>>or better by next Wed!
> 
> Excellent!  The linalg module is shown here:
> 
> http://docs.scipy.org/numpy/docs/numpy.linalg/
> 
> You can choose from:
> 
> cholesky cond det eig eigh eigvals eigvalsh
> inv lstsq matrix_power norm inv qr solve svd tensorinv 
>tensorsolve
> 
> These mostly have decent docstrings already, so I'd 
>suggest focusing
> on making the following more accessible to your typical 
>linear algebra
> student:
> 
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.eig/ 
>[1]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.qr/ 
>[2]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.norm/ 
>[3]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.svd/ 
>[4]
> http://docs.scipy.org/numpy/docs/numpy.linalg.linalg.tensorinv/ 
>[5]
> 
> Have fun!
> Stéfan
> 
> [1] In the notes section, describe right vs left 
>eigenvectors.
> Personally, I think we can drop the reference to the 
>characteristic
> polynomial (we
> don't solve it that way in any case).
> 
> [2] Needs formatting and a link to an explanation of QR.
> 
> [3] Describe what Frobenius means, or give a link to an 
>appropriate reference.
> 
> [4] Note Pauli's comment: indicate clearly that the 
>decomposition A =
> U S V.T is returned (V.H for complex matrices).
> 
> [5] Badly in need of some examples.
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Hi Stéfan,

Is there a chance to fix the following ticket 
http://projects.scipy.org/numpy/ticket/937
in this context ?

Nils


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